Understanding the Mechanisms of Deep Transfer Learning for Medical Images

no code implementations • 20 Apr 2017 • Hariharan Ravishankar, Prasad Sudhakar, Rahul Venkataramani, Sheshadri Thiruvenkadam, Pavan Annangi, Narayanan Babu, Vivek Vaidya

In this paper, we systematically investigate the process of transferring a Convolutional Neural Network, trained on ImageNet images to perform image classification, to kidney detection problem in ultrasound images.

Image Classification Transfer Learning

Filter sharing: Efficient learning of parameters for volumetric convolutions

no code implementations • 8 Dec 2016 • Rahul Venkataramani, Sheshadri Thiruvenkadam, Prasad Sudhakar, Hariharan Ravishankar, Vivek Vaidya

Typical convolutional neural networks (CNNs) have several millions of parameters and require a large amount of annotated data to train them.

Lung Nodule Segmentation

An SVM Based Approach for Cardiac View Planning

no code implementations • 11 Jul 2014 • Ramasubramanian Sundararajan, Hima Patel, Dattesh Shanbhag, Vivek Vaidya

We consider the problem of automatically prescribing oblique planes (short axis, 4 chamber and 2 chamber views) in Cardiac Magnetic Resonance Imaging (MRI).

feature selection